Discourse Search lets you quickly search and retrieve posts from Discourse forums using the powerful discourse2 npm pack
Fetch and extract information from websites automatically
Example: Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example: Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example: Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Interact with services that don't offer APIs
Example: Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
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AgentQL lets you scrape any website and extract structured data to JSON easily—no custom web scraping code needed.
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Integrate Python web scraping to automate tasks, extract content, and scrape websites in realtime using advanced Python
We wired Discourse Search into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, Discourse Search benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Discourse Search reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Discourse Search is the kind of server we cite when onboarding engineers to host + tool permissions.
Discourse Search has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Discourse Search reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
According to our notes, Discourse Search benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: Discourse Search surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Discourse Search has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: Discourse Search is the kind of server we cite when onboarding engineers to host + tool permissions.
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Claude Desktop configuration
{
"mcpServers": {
"discourse": {
"command": "npx",
"args": [
"-y",
"@ashdev/discourse-mcp-server"
],
"env": {
"DISCOURSE_API_URL": "https://try.discourse.org",
"DISCOURSE_API_KEY": "1234",
"DISCOURSE_API_USERNAME": "ash"
}
}
}
}Connects to Discourse forums to search and retrieve posts through API queries. Requires forum API credentials to access content.
Discourse Search is a community-built MCP server published by ashdevfr that provides AI assistants with tools and capabilities via the Model Context Protocol. Discourse Search lets you quickly search and retrieve posts from Discourse forums using the powerful discourse2 npm pack It is categorized under search web.
You can install Discourse Search in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
README content is unavailable from source data for this server.
Open GitHub repository →Time estimate: 20-40 minutes including configuration and testing
Prerequisites
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.